Summary
This chapter fell into the category of extensive hands-on chapters, but I hope you've managed to follow along. If you have, you've learned a lot – from how to make predictions in a notebook environment to making predictions in a simple and custom-built web application.
Not only that, but you've also completed the entire book. Congratulations! You've learned a lot throughout these nine chapters. We started with the basics of machine learning through basic regression and classification examples, and from there slowly built our knowledge of TPOT. You've also learned how TPOT works with parallel training and with neural networks. But probably the most important new skill you've acquired is model deployment. Without it, your models are useless, as no one can use them to create value.
As always, feel free to explore TPOT and every amazing functionality it has to offer on your own. This book should serve you as a great starting point, as...
